alphaFeedback

WorksComputer Science

OlmoEarth v1.3: Embeddings

Abstract

We make some OlmoEarth embeddings. To do this, we train a new model: OlmoEarth v1.3. OlmoEarth v1.3 is designed to condense multimodal, multitemporal remote sensing data into a single digestible 64 or 128-dimensional vector. OlmoEarth v1.3 produces state-of-the-art embeddings. In addition, OlmoEarth v1.3 is a strong encoder backbone – competitive with OlmoEarth v1 and v1.2 – while requiring 18% and 53% of the GPU hours to train, respectively. We use OlmoEarth v1.3 to compute global, annualized 10m embeddings, which we release under the OlmoEarth artifact license.

Paper details

vlnc:W_ttpwsgn5
v1 · latestHistory (1)

published · Fresh — added to the Hub within the last 30 days

added ·

Usage

views · 0

downloads · 0

A view counts once per browser per day, a download each time the PDF is requested.

arXiv nonexclusive license

Original source

  • Computer Science

Not recorded for this paper · View statement →

Looking for related papers…